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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/25648


    Title: 各類資訊分享的供應鏈模擬器之設計與分析
    Other Titles: Design and Analysis for the Simulators of Supply Chain with Various Types of Information Sharing
    Authors: 吳銘哲
    Ming-Che Wu
    Contributors: 陳武林;黃欽印
    Wu-Lin Chen;Chin-Yin Huang
    工業工程與經營資訊學系
    Keywords: 資訊分享;供應鏈;模擬
    Simulation;Information Sharing;Supply Chain
    Date: 2014
    Issue Date: 2015-05-05T08:38:39Z (UTC)
    Abstract: 過去已有許多學者對資訊分享議題進行供應鏈之各項效益分析。而本研究發現過去許多研究,即使在無資訊分享模式中,零售商常常將市場需求預測模式分享給供應鏈其他成員,而且也知悉其參數與前置時等條件;本研究認為這在實際環境中,幾乎是不太可能發生的。因此,本研究提出更實務的無資訊分享模式,以補文獻尚未嚴謹之處,並建立三種資訊分享模式,分別為無資訊分享、資訊分享1(包含需求模式與零售商訂購量)與資訊分享2(包含需求模式、零售商訂購量與市場實際需求)。本研究利用模擬的方法建構一般性的供應鏈模擬器;在無資訊分享的模式中,模擬器允許使用者選擇任何預測模式,以更符合實務運作。本研究並以成本的角度驗證與分析資訊分享的效益;此外,研究也探討各因子下(包含:自我相關係數ρ、標準差σ與製造商單位持有成本H^m)對供應鏈中各成員在各類型的資訊分享模式間之總成本差異情形。本研究實驗結果顯示各模式間影響性最高的因子如下:發現在無資訊分享相較於資訊分享1時,需求波動性越強時,影響供應鏈各成員的成本越大;而當資訊分享1相較於資訊分享2時,則是需求相關性越高時,影響製造商與整體供應鏈的成本越大。
    In the past, many scholars had discussed and analyzed the issue of various effectiveness and advantages of information sharing for the supply chain. In this study, we find that many previous studies usually assumed the retailers shared the forecasting market demand process to other members of the supply chain in their models even if the model with no information sharing was discussed. In addition, all the associated parameters in the forecasting demand are also shared in the analysis. To consider the real-world operation of the supply chain, it is almost impossible to occur. Therefore, we propose the more practical model with no information sharing. This study builds three models of information sharing, including no information sharing, information sharing-1(including the market demand process and the retailer’s order), and information sharing-2(including the market demand process, the retailer’s order and the market demand).In this study, we build a general simulator of the supply chain. In the model with no information, the simulator allows users to select any forecasting demand model to meet more practical operation. In addition, we verify the correctness of the simulator and analyze the benefit of information sharing based on the viewpoint of the cost. We discuss the difference of the total cost among each member and each model with different information sharing under different factors: demand autocorrelation ρ, demand volatility σ, and the unit holding cost of manufacturer H^m. The results show that the most significant factors between the compared models are as follows. The demand fluctuation is the most significant factor when the model with no information sharing and that with information sharing-1 are compared. The demand autocorrelation is the most significant factor when the model information sharing-1 is compared with that with information sharing-2 based on the viewpoints of manufacturer and the whole supply chain.
    Appears in Collections:[工業工程與經營資訊學系所] 碩博士論文

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